Assistant/Associate/Full Professor at the University of Pittsburgh Department of Computational and Systems Biology
We invite applications for a tenure-track or tenured Faculty position at the Assistant Professor, Associate Professor, or Full Professor level, in the Department of Computational and Systems Biology (DCSB) at the University of Pittsburgh School of Medicine. We seek creative individuals who can develop a cutting-edge research program and lead collaborative research initiatives on the development and use of novel computational models, physical sciences and/or engineering methodologies, machine learning algorithms and quantitative analysis and dissemination tools to address current challenges in computational and systems biology research areas and to facilitate the translation of basic research into clinical applications.
The ideal candidate will have demonstrated leadership and interdisciplinary research accomplishments in one or more of the following areas: molecular-to-cellular systems biology, including modeling complex systems structure/morphology, dynamics and function using structural, image and data from latest technology, including cryo-electron microscopy, single molecule experiments and live cell imaging; synthetic biology and novel biotechnology; translational science bridging genomics, systems biology and clinical applications; drug-or therapy-discovery and development using structure, genomics and/or systems pharmacology and applications to precision medicine; evolutionary systems biology; synthetic developmental biology including organoids, organs on a chip, and constructing multicellular systems with synthetic/engineered components. While the position requires interest and accomplishments in computational and/or theoretical biological sciences, the successful candidate may also seek to start a wet lab to investigate important problems using both computational and molecular methods.
The level of appointment and salary will be commensurate with qualifications, experience, and responsibilities. The successful candidate will have the opportunity to mentor students in multiple interdisciplinary graduate programs including the Joint Carnegie Mellon University–University of Pittsburgh Ph.D. Program in Computational Biology, the Integrative Systems Biology Ph.D. Program, and the Computational Biomedicine and Biotechnology Master’s Program. We especially seek candidates who have a documented interest in mentoring and other activities to promote diversity, equity, and inclusion in our department and in general.
Applicants should email the following materials to Nancy Linderman (firstname.lastname@example.org): (1) a cover letter, (2) a CV, (3) a research statement, (4) a teaching and mentoring statement, (5) a statement describing the applicant’s accomplishments and plans for promoting diversity, equity, and inclusion, and (6) a list of three references from whom letters may be requested. Review of applications will begin on November 22, 2021.
The University of Pittsburgh is an Affirmative Action, Equal Opportunity Employer and values equality of opportunity, human dignity and diversity. EOE, including disability/vets.
Postdoctoral Fellow Position in Computational Drug Discovery and Development
The Department of Computational and Systems Biology and Department of Anesthesiology and Perioperative Medicine at the University of Pittsburgh invite applications for an NIH T32 Postdoctoral Research Fellowship in anesthesiology and pain medicine.
We are seeking candidates to join a dynamic team of investigators studying computational discovery and development of non-opioid analgesic drugs. During the training, the research fellow will apply molecular modeling techniques, ranging from structure-based virtual screening to molecular dynamics to cheminformatics modeling, to discover new non-opioid analgesics and optimize existing scaffolds. 50% of research time will be protected for independent research led by the fellow.
Qualified candidates must have either a MD, PhD, or MD/PhD degree. Candidates with prior research experience in computer aided drug design, molecular modeling, drug-protein interactions, computational biology, biophysics, Python programming, data science, machine learning, high performance computing, or ion channel physiology are preferred. The applicant need not have proficiency in all topics as training will be provided. Excellent interpersonal skills and a strong aptitude for collaborative research in an academic environment are expected. The applicant must be a U.S. citizen or permanent resident in accordance with NIH regulations. All trainees are expected to spend at least two years in the training program and devote 100% effort toward research. Physician-scientists, who are board-eligible, are encouraged to apply and must devote a minimum of 80% effort towards research. The program provides a competitive stipend, a travel and research allowance, health insurance, and tuition assistance. The research environment is outstanding.
Interested candidates should submit a curriculum vitae (CV), a letter describing research interests and relevant experience, and the contact information for three references to Professor David Koes (email@example.com) or Professor Yan Xu (firstname.lastname@example.org).
The University of Pittsburgh is an equal opportunity employer and does not discriminate based on race, color, gender, religion, age, sexual orientation, national or ethnic origin, disability, marital status, veteran status, or any other occupationally irrelevant criteria. The University promotes affirmative action for minorities, women, disabled persons, and veterans. Individuals from underrepresented racial and ethnic groups, people with disabilities, and individuals from disadvantaged economic, social, cultural, or educational backgrounds are particularly encouraged to apply.